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Digital Speech: Coding for Low Bit Rate Communication Systems, by A. M. Kondoz
Ebook Download Digital Speech: Coding for Low Bit Rate Communication Systems, by A. M. Kondoz
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Building on the success of the first edition Digital Speech offers extensive new, updated and revised material based upon the latest research. This Second Edition continues to provide the fundamental technical background required for low bit rate speech coding and the hottest developments in digital speech coding techniques that are applicable to evolving communication systems.
- Features new chapters on Pitch Estimation and Voice-Unvoiced Classification of Speech, Harmonic Speech Coding and Multimode Speech Coding
- Presents a comprehensively revised chapter entitled Analysis by Synthesis LPC Coding including specific examples of popular speech coders such as CELP (Code-Excited Linear Predictive) Coding
- Contains an updated chapter on Efficient LPC Quantization Methods including MSVQ and anti-aliasing filtering
- Discusses Voice Activity Detection (VAD) methods
- Offers expanded coverage of speech enhancement techniques such as echo cancellation and noise suppression
Written by a well-known, highly respected academic, this authoritative volume will be invaluable to practising engineers, network designers, computer scientists and advanced students in communications, electrical and electronic engineering.
- Sales Rank: #4374465 in Books
- Published on: 2004
- Original language: English
- Number of items: 1
- Dimensions: 9.61" h x 1.06" w x 6.61" l, 1.44 pounds
- Binding: Paperback
- 460 pages
From the Back Cover
Building on the success of the first edition Digital Speech offers extensive new, updated and revised material based upon the latest research. This Second Edition continues to provide the fundamental technical background required for low bit rate speech coding and the hottest developments in digital speech coding techniques that are applicable to evolving communication systems.
- Features new chapters on Pitch Estimation and Voice-Unvoiced Classification of Speech, Harmonic Speech Coding and Multimode Speech Coding
- Presents a comprehensively revised chapter entitled Analysis by Synthesis LPC Coding including specific examples of popular speech coders such as CELP (Code-Excited Linear Predictive) Coding
- Contains an updated chapter on Efficient LPC Quantization Methods including MSVQ and anti-aliasing filtering
- Discusses Voice Activity Detection (VAD) methods
- Offers expanded coverage of speech enhancement techniques such as echo cancellation and noise suppression
* Electronic versions of the figures are available for lecturing purposes *
Written by a well-known, highly respected academic, this authoritative volume will be invaluable to practising engineers, network designers, computer scientists and advanced students in communications, electrical and electronic engineering.
Most helpful customer reviews
1 of 1 people found the following review helpful.
Actually two books in one
By calvinnme
This book has some good background material on speech coding plus some material on new speech processing and coding techniques. In order to lay the foundation of speech coding technology the book reviews sampling, quantizations, and then the basic nature of speech signals and the theory and tools applied in speech coding. The last two chapters of the book consists of some recent research in the areas of voice activity detection and speech enhancement.
This book shows a real disconnect in style between its first nine chapters and the last two. The first nine are very well written and cover all the basics of speech coding. The mathematical aspects of speech coding are clearly laid out and derived, and the book makes liberal use of some very good illustrations that model various parts of speech coders in block diagram form. In order to understand all of this, though, you should already have a good grasp of digital signal processing and probability theory including random processes. Particularly good are the discussions on the short-time Fourier transform of speech and the effects windowing has on it, the long-term prediction of speech, and pitch detection methods. The last two chapters are written like research papers, and are not very clear at all. There is quite a bit of probability theory on display there, and the notation is hard to discern. There are no exercises at all in this book, but each chapter does have a pretty good summary, even the research chapters.
I would say if you want to learn about speech coding this is a good economical way to learn, although I think Speech Coding Algorithms: Foundation and Evolution of Standardized Coders by Chu is probably a better book for beginners. You might want to stop reading after chapter nine of this book unless you are just extremely interested in the research portion.
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